CarlAnomaly

CarlAnomaly

A CARLA-based Dataset for Multi-Modal Anomaly Detection
in Autonomous Driving Scenarios

Multi-Modal

  • 4 RGB-D Cameras
  • LiDAR
  • IMU
  • GNSS

Anomalies

  • Various Types
  • Manually Verified
  • Diverse Environmental Conditions

Large Scale

  • 2 hours of training data
  • 1 hour of validation data
  • 500 x 20s clips for testing
  • 1.3 TB

Paper

@inproceedings{ }

Example Anomalies

CarlAnomaly features a wide range of anomalies. Overall, there are x different types of anomalies:

Spawning Road Debris

Misbehaving Traffic Lights

Changing Weather

Flickering Street Lights